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The paradox of China's international stock market co-movement: Evidence from volatility spillover effects between China and G5 stock markets

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Author Info

  • Yusaku Nishimura
  • Ming Men

Abstract

Purpose – The purpose of this paper is to examine the daily and overnight volatility spillover effects in common stock prices between China and G5 countries and explain their implications on the basis of empirical results. Design/methodology/approach – The analysis utilizes the exponential generalized autoregressive conditional heteroskedasticity (EGARCH) model, the cross-correlation function approach, and realized volatility for daily and intraday stock price data that cover the period from January 5, 2004 to December 31, 2007. Findings – Principally, the paper concludes the following: strong evidence of short-run one-way volatility spillover effects from China to the US, UK, German and French stock markets is observed and the test results indicate that Chinese investors were not rational and China's stock market entered a speculative bubble period after the second half of 2006. Originality/value – Contrary to widespread belief, the empirical results suggest that a small (China) stock market has significant influence on a large (G5) stock market but not vice versa. This paradox is interpreted as a particular phenomenon existing together with the rapid economic development and severe capital regulation in China.

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Bibliographic Info

Article provided by Emerald Group Publishing in its journal Journal of Chinese Economic and Foreign Trade Studies.

Volume (Year): 3 (2010)
Issue (Month): 3 (December)
Pages: 235-253

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Handle: RePEc:eme:ceftpp:v:3:y:2010:i:3:p:235-253

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Related research

Keywords: China; Information systems; Stock markets; Volatility;

References

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  1. Ole E. Barndorff-Nielsen, 2004. "Power and Bipower Variation with Stochastic Volatility and Jumps," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 2(1), pages 1-37.
  2. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003. "Modeling and Forecasting Realized Volatility," Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
  3. Johansson, Anders C. & Ljungwall, Christer, 2009. "Spillover Effects Among the Greater China Stock Markets," World Development, Elsevier, vol. 37(4), pages 839-851, April.
  4. Hentschel, Ludger & Campbell, John, 1992. "No News is Good News: An Asymmetric Model of Changing Volatility in Stock Returns," Scholarly Articles 3220232, Harvard University Department of Economics.
  5. Francis X. Diebold & Jose A. Lopez, 1995. "Modeling volatility dynamics," Research Paper 9522, Federal Reserve Bank of New York.
  6. Siem Jan Koopman & Borus Jungbacker & Eugenie Hol, 2004. "Forecasting Daily Variability of the S&P 100 Stock Index using Historical, Realised and Implied Volatility Measurements," Tinbergen Institute Discussion Papers 04-016/4, Tinbergen Institute.
  7. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
  8. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
  9. Kasa, Kenneth, 1992. "Common stochastic trends in international stock markets," Journal of Monetary Economics, Elsevier, vol. 29(1), pages 95-124, February.
  10. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March.
  11. Hong, Yongmiao, 2001. "A test for volatility spillover with application to exchange rates," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 183-224, July.
  12. Eun, Cheol S. & Shim, Sangdal, 1989. "International Transmission of Stock Market Movements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(02), pages 241-256, June.
  13. Neil Shephard & Ole E. Barndorff-Nielsen, 2003. "Power and bipower variation with stochastic volatility and jumps," Economics Series Working Papers 2003-W18, University of Oxford, Department of Economics.
  14. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
  15. Jang, Hoyoon & Sul, Wonsik, 2002. "The Asian financial crisis and the co-movement of Asian stock markets," Journal of Asian Economics, Elsevier, vol. 13(1), pages 94-104.
  16. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
  17. Asger Lunde & Peter R. Hansen, 2005. "A forecast comparison of volatility models: does anything beat a GARCH(1,1)?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 873-889.
  18. Lin, Kuan-Pin & Menkveld, Albert J. & Yang, Zhishu, 2009. "Chinese and world equity markets: A review of the volatilities and correlations in the first fifteen years," China Economic Review, Elsevier, vol. 20(1), pages 29-45, March.
  19. Benoit Mandelbrot, 1963. "The Variation of Certain Speculative Prices," The Journal of Business, University of Chicago Press, vol. 36, pages 394.
  20. Andersen T. G & Bollerslev T. & Diebold F. X & Labys P., 2001. "The Distribution of Realized Exchange Rate Volatility," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 42-55, March.
  21. Ng, Angela, 2000. "Volatility spillover effects from Japan and the US to the Pacific-Basin," Journal of International Money and Finance, Elsevier, vol. 19(2), pages 207-233, April.
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Citations

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Cited by:
  1. Yusaku Nishimura & Yoshiro Tsutsui & Kenjiro Hirayama, 2012. "Return and Volatility Spillovers between Japanese and Chinese Stock MarketsFAn Analysis of Overlapping Trading Hours with High-frequency Data," Discussion Papers in Economics and Business 12-01, Osaka University, Graduate School of Economics and Osaka School of International Public Policy (OSIPP).
  2. Yusaku Nishimura & Yoshiro Tsutsui & Kenjiro Hirayama, 2014. "Intraday Return and Volatility Spillover Mechanism from Chinese to Japanese Stock Market," Discussion Papers in Economics and Business 14-01, Osaka University, Graduate School of Economics and Osaka School of International Public Policy (OSIPP).

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